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Path optimization using genetic algorithm evolution

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dc.citedby3
dc.contributor.authorLow C.Y.en_US
dc.contributor.authorChong K.H.en_US
dc.contributor.authorSalleh K.en_US
dc.contributor.authorJohnny K.S.P.en_US
dc.contributor.authorid36995000600en_US
dc.contributor.authorid36994481200en_US
dc.contributor.authorid57218170038en_US
dc.contributor.authorid22951210700en_US
dc.date.accessioned2023-12-28T07:17:48Z
dc.date.available2023-12-28T07:17:48Z
dc.date.issued2010
dc.description.abstractGantry robots are widely used in the industries for various material handling applications. The robot capable of moving in the Cartesian makes it very flexible and efficient at big or small areas. Path optimization to the robot would make it more efficient and easier automation. In this paper, genetic algorithm (GA) has been proposed to optimize the traveling sequence making the movement more efficient and economic as the total travel length is shortened. �2010 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo5704011
dc.identifier.doi10.1109/SCORED.2010.5704011
dc.identifier.epage255
dc.identifier.scopus2-s2.0-79951963224
dc.identifier.spage252
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-79951963224&doi=10.1109%2fSCORED.2010.5704011&partnerID=40&md5=dfc563ad6fa81f5feb3d687ae1c28e61
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29630
dc.pagecount3
dc.sourceScopus
dc.sourcetitleProceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010
dc.subjectCartesian robots
dc.subjectGA
dc.subjectGantry robots
dc.subjectGenetic algotithm
dc.subjectPath optimization
dc.subjectBiology
dc.subjectEngineering research
dc.subjectInnovation
dc.subjectMaterials handling
dc.subjectOptimization
dc.subjectRobots
dc.subjectCartesian Robots
dc.subjectGA
dc.subjectGantry robots
dc.subjectGenetic algotithm
dc.subjectPath optimization
dc.subjectGenetic algorithms
dc.titlePath optimization using genetic algorithm evolutionen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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